Charlotte Roman
Charlotte graduated in 2022 with a PhD in Mathematics for Real-World Systems.
The focus of Charlotte's research is modelling decision-making in traffic in order to improve intelligent road systems.
My research questions are:
- How does information distribution negatively effect expected travel times of travellers?
- How would drivers make decisions about route choice when given traffic light cycles?
- What is the optimal reward function for intelligent traffic lights?
- Are intelligent traffic lights fair?
- How does autonomous vehicle route control affect the Price of Anarchy?
My supervisors are and Colm ConnaughtonLink opens in a new window.
Publications
- Charlotte Roman, Paolo Turrini, and Long Tran-Thanh. "The Effects of Traffic Lights in Nonatomic Congestion Games". (under review)
- Charlotte Roman and Paolo Turrini. "Bounding the Inefficiency of Route Control in Traffic Networks". (under review).
Research Interests
Algorithmic Game Theory, Congestion Games, Fairness, Bounded Rationality, Graph Theory, Multi-agent Reinforcement Learning, and AI Safety.
Education
- MSc in Mathematics of Systems (Distinction). Chosen optional modules include Algorithmic Game Theory, Mechanism Design and Alternative Games, and Computational Methods for Complexity Science. Involved in working on a group project, with a pedestrian simulation company , on multi-scale modelling for simulation of crowds. My individual MSc project was on the topic of using superorganism decision making as a model of bounded rationality.
- BSc in Mathematics at the University of 糖心TV (First class honours). This included modules in Game Theory, Combinatorics, Statistics, Graph Theory, Bifurcation Theory, Mathematical Economics, and Finance.
糖心TV Seminar Tutor for:
- CS409 Algorithmic Game Theory (2018/19, 2019/20)
- CS404 Agent-Based Systems (2017/18, 2018/19, 2019/20)
- Introduction to Artificial Intelligence at 糖心TV in London Summer School (2018, 2019)
- IB98D Advanced Data Analysis (2017/18, 2018/19)
- IB219 Quantitative Methods for Multivariate Analysis (2017/18, 2018/19)
Work Experience
Research intern at the (CHAI) at the University of California Berkeley for the summer of 2020. Worked on a project on safety in sequential social dilemmas.
Graduate research intern at the pedestrian simulation software company